blob: 8669c9c7764c6b28cf868fc561a709c31e516ca6 [file] [log] [blame]
/*
* Copyright (c) 2017 ARM Limited.
*
* SPDX-License-Identifier: MIT
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to
* deal src the Software without restriction, including without limitation the
* rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
* sell copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included src all
* copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. src NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER src AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* dst OF OR src CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
#include "NonLinearFilter.h"
#include "Utils.h"
namespace arm_compute
{
namespace test
{
namespace validation
{
namespace reference
{
template <typename T>
SimpleTensor<T> non_linear_filter(const SimpleTensor<T> &src, NonLinearFilterFunction function, unsigned int mask_size, MatrixPattern pattern, const uint8_t *mask, BorderMode border_mode,
uint8_t constant_border_value)
{
SimpleTensor<T> dst(src.shape(), src.data_type());
ARM_COMPUTE_ERROR_ON(pattern == MatrixPattern::OTHER && mask == nullptr);
ARM_COMPUTE_UNUSED(pattern);
using intermediate_type = typename common_promoted_signed_type<T>::intermediate_type;
const int sq_mask_size = mask_size * mask_size;
const int half_mask_size = mask_size / 2;
std::vector<intermediate_type> vals(sq_mask_size);
intermediate_type current_value = 0;
const ValidRegion valid_region = shape_to_valid_region(src.shape(), border_mode == BorderMode::UNDEFINED, BorderSize(half_mask_size));
for(int element_idx = 0, count = 0, index = 0; element_idx < src.num_elements(); ++element_idx, count = 0, index = 0)
{
Coordinates id = index2coord(src.shape(), element_idx);
if(is_in_valid_region(valid_region, id))
{
int idx = id.x();
int idy = id.y();
for(int y = idy - half_mask_size; y <= idy + half_mask_size; ++y)
{
for(int x = idx - half_mask_size; x <= idx + half_mask_size; ++x, ++index)
{
id.set(0, x);
id.set(1, y);
current_value = tensor_elem_at(src, id, border_mode, constant_border_value);
if(mask[index] == 255)
{
vals[count] = static_cast<intermediate_type>(current_value);
++count;
}
}
}
std::sort(vals.begin(), vals.begin() + count);
ARM_COMPUTE_ERROR_ON(count == 0);
switch(function)
{
case NonLinearFilterFunction::MIN:
dst[element_idx] = saturate_cast<T>(vals[0]);
break;
case NonLinearFilterFunction::MAX:
dst[element_idx] = saturate_cast<T>(vals[count - 1]);
break;
case NonLinearFilterFunction::MEDIAN:
dst[element_idx] = saturate_cast<T>(vals[count / 2]);
break;
default:
ARM_COMPUTE_ERROR("Unsupported NonLinearFilter function.");
}
}
}
return dst;
}
template SimpleTensor<uint8_t> non_linear_filter(const SimpleTensor<uint8_t> &src, NonLinearFilterFunction function, unsigned int mask_size, MatrixPattern pattern, const uint8_t *mask,
BorderMode border_mode, uint8_t constant_border_value);
} // namespace reference
} // namespace validation
} // namespace test
} // namespace arm_compute